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    Implementation and optimization of wavelet modulation in additive gaussian channels

    , Article 11th International Conference on Advanced Communication Technology, ICACT 2009, Phoenix Park, 15 February 2009 through 18 February 2009 ; Volume 3 , 2009 , Pages 1940-1943 ; 17389445 (ISSN); 9788955191387 (ISBN) Niazadeh, R ; Nassirpour, S ; Shamsollahi, M. B ; IEEE Communications Society, IEEE ComSoc ; Sharif University of Technology
    2009
    Abstract
    In this paper, we investigate the implementation of wavelet modulation (WM) in a digital communication system and propose novel methods to improve its performance. We will put particular focus on the structure of an optimal detector in AWGN channels and address two main methods for inserting the samples of the message signal in different frequency layers. Finally, computer based algorithms are described in order to implement and optimize receivers and transmitters  

    A Fast Soft Decision Algorithm for Cooperative Spectrum Sensing

    , Article IEEE Transactions on Circuits and Systems II: Express Briefs ; Volume 68, Issue 1 , 2021 , Pages 241-245 ; 15497747 (ISSN) Golvaei, M ; Fakharzadeh, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    Hidden Primary User problem caused by fading and shadowing severely affects the detection rate of the cognitive radio systems with a single spectrum sensor. Cooperative Spectrum Sensing has been introduced to tackle this problem by using the spatial diversity of spectrum sensors. It is shown that the use of soft decision algorithms in fusion center has a better performance than hard decision algorithms. The problem of soft decision based on sensor measurements perfectly matches the Machine Learning paradigm. In this brief, a novel fast soft decision algorithm is proposed based on Machine Learning theory for wideband Cooperative Spectrum Sensing, which finds a decision boundary to classify...